Flagship project
Prompt Design Portfolio
Build a complete portfolio of prompts for various tasks like summarization, coding, and creative writing.
- Prompting
- LLM
- Portfolio
Generative AI & LLMsJob-Ready Skill
Generative AI & LLMs Crash Course in Amritsar – Master AI Tools & Build Real Projects in Weeks
Generative AI & LLMs Crash Course course in AmritsarA fast-track, hands-on Generative AI and LLM training in Amritsar. Learn prompt engineering, API basics, and build a portfolio with live industry scenarios and placement support.
4 / 8 WeeksBeginnerHybrid
4 / 8 Weeks
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
Generative AI & LLMs Crash Course · 4 / 8 Weeks
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewtechcadd's Generative AI & LLMs Crash Course in Amritsar is a practical, project-first introduction to the world of modern AI for complete beginners and professionals looking to upskill.
It opens with Generative AI fundamentals, LLM architecture, and prompt engineering principles, then quickly moves into hands-on application with real-world use cases for content creation, coding, and data analysis.
You finish with a documented mini-portfolio, a practical project, and the confidence to use Generative AI effectively in your current or future job.
Amritsar is waking up to a new kind of business tool. From the bustling markets of Katra Jaimal Singh to the growing tech hubs near Ranjit Avenue, everyone is talking about Generative AI. But for most people, it remains a mystery—a powerful technology locked behind a confusing interface. The real challenge isn't just knowing that AI exists; it's knowing how to use it to create, automate, and innovate. The ability to harness Large Language Models (LLMs) to write compelling content, generate code, analyze data, and brainstorm ideas is quickly becoming the most valuable skill in the modern workplace. Companies are actively seeking individuals who can move beyond basic queries and use Generative AI as a powerful co-pilot to solve real business problems.
techcadd's Generative AI & LLMs Crash Course in Amritsar is designed to take you from curious beginner to confident practitioner in just a few weeks. This is not a theoretical lecture series. It's a hands-on, project-based sprint where you work directly with tools like ChatGPT, Claude, and Google's Gemini from day one. You'll learn the art of prompt engineering, how to integrate LLM APIs into simple applications, and how to build a mini-portfolio that proves your skills. Batches are kept small to ensure you get personal attention and direct feedback on your work, preparing you for the AI-driven future of work.
Placement assistanceLive AI labsInternship certificate
- Duration
- 4 / 8 Weeks
- Level
- Beginner
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe Professional Track is a nested ladder — it includes every module from the 4-week track and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 04
Generative AI & Prompt Design Fundamentals
The foundational knowledge every AI user needs — how LLMs work and how to write clean, effective prompts to get the best results.
Topics covered
- Generative AI concepts
- LLM basics
- tokens
- context windows
- zero-shot
- few-shot
- chain-of-thought
- role prompting
- prompt templates
- ethics in AI
Tools in this module
ChatGPTClaudeGeminiGoogle AI StudioOpenAI PlaygroundYou finish withA portfolio of 20+ prompts for various professional and creative tasks
- Module 02 of 04
Applied AI Project & Career Readiness
Applying your skills to a real-world project, from idea to completion, plus preparing your career toolkit to showcase your new AI expertise.
Topics covered
- Practical application of GenAI
- using AI for content creation
- coding
- data analysis
- AI solution design
- portfolio development
- resume
- LinkedIn profile
- interview readiness
Tools in this module
ChatGPTClaudeGoogle SheetsGitHubPortfolioResumeLinkedInYou finish withA complete practical project and a resume that highlights your Generative AI skills
- Module 03 of 04
LLM APIs & AI Automation
Moving from using AI interfaces to integrating LLMs into applications and automating simple business workflows.
Topics covered
- LLM parameters (temperature
- top-p)
- structured output (JSON)
- API fundamentals
- OpenAI API
- Anthropic API
- prompt chaining
- AI automation with Zapier and Make
Tools in this module
PythonOpenAI APIAnthropic APIPostmanZapierMakeYou finish withA Python script that uses an LLM API to solve a real-world task and a simple AI automation
- Module 04 of 04
Introduction to RAG & AI Agents
An introduction to advanced AI systems like RAG for answering questions from your own data and AI agents that can perform autonomous tasks.
Topics covered
- Retrieval-Augmented Generation (RAG) basics
- embeddings
- vector databases
- LangChain basics
- AI agents
- tool use
- multi-agent systems
Tools in this module
PineconeChromaDBLangChainCrewAIAutoGenYou finish withA simple RAG-powered Q&A bot and a basic AI agent
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
AI-Powered Content Generator
Create a tool that uses an LLM API to generate blog posts, social media updates, or marketing copy.
- API
- Automation
- Content
RAG-Powered Q&A Bot
Deploy a simple RAG system that answers questions from a custom knowledge base (e.g., a set of PDFs).
- RAG
- Vector DB
- LangChain
Capstone Project
Complete an end-to-end Generative AI project that solves a real business problem, from ideation to a live demo.
- Multi-Domain
- Portfolio
- Deployment
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Industry-focused curriculum
You learn the tools and techniques that are actually being used by professionals in marketing, development, and data analysis today.
Prompt Design Portfolio
- 02
Hands-on from day one
Every session is a lab. You work directly with Generative AI models to solve real business questions, not just listen to theory.
AI-Powered Content Generator
- 03
Mentor-reviewed project
You will complete a practical project, reviewed by a mentor who uses Generative AI daily, ensuring your work meets a professional standard.
RAG-Powered Q&A Bot
- 04
Build a real portfolio
You finish the course with a documented mini-portfolio of AI projects, giving you tangible proof of your new skills to show employers or clients.
Capstone Project
The honest pitch
Your weeks should build more than a certificate.
Your weeks should build more than a certificate.A course is worth your time only if you finish with real, demonstrable skills and a project you can confidently explain.
Project completion certificate
Issued for the project you build and defend
Course completion certificate
Carries a certificate ID and a scan-to-verify code
Why choose Generative AI & LLMs Crash Course
Why students choose techcadd
Why students choose techcaddWhat makes this course at techcadd different is that it is built for speed and practical application, ensuring you finish with an end-to-end AI project and a portfolio rather than just theoretical knowledge.
- 01
Mentors who still work on live AI problems
Not full-time lecturers — trainers who are still doing the job they teach.
- 02
One project, built from start to finish
You start your project in Module 01 and complete it by the final module, guided by mentors.
- 03
Small batch sizes
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
The 8-week program includes everything from the 4-week crash course and adds more depth — you never repeat a module.
- 05
Documented internship experience
Every student receives a documented internship certificate alongside their course certificate.
- 06
Placement support
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Eligibility
Who can join the Generative AI & LLMs Crash Course course
Who can join the Generative AI & LLMs Crash Course courseThis crash course is built for action-takers—here's who gets the most out of it.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at beginner level and builds from there across 4 / 8 weeks.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 4 / 8 weeks, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
Tools you will actually use
The working stack for Generative AI & LLMs Crash Course
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
20tools covered
LLM
- ChatGPT
- Claude
- Gemini
LLM API
- OpenAI API
- Anthropic API
Programming language
- Python
LLM framework
- LangChain
- LlamaIndex
Vector database
- Pinecone
- ChromaDB
- FAISS
AI community
- Hugging Face
Multi-agent framework
- CrewAI
- AutoGen
Automation
- Zapier
- Make
Version control
- Git
Code hosting
- GitHub
Code editor
- VS Code
Notebook environment
- Jupyter
Cloud notebooks
- Google Colab
Certification
Get certified in Generative AI & LLMs Crash Course
Get certified in Generative AI & LLMs Crash CourseIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Future scope
Where this takes you over the next five years
Where this takes you over the next five yearsThe skill does not stand still, and neither does what it is worth.
- Generative AI is the new baselineEmployers increasingly assume analytical knowledge will extend to AI communication and automation.
- Automation and AI are the new layersTeams expect professionals to integrate AI agents, automation, and privacy-first AI practices, not just write prompts.
The objective is practical, applicable knowledge that you can use from day one.
Due diligence
How techcadd compares
How techcadd comparesWhat actually differs between this course at techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live project work | Every module, from week one | Varies, often only at the end |
| Learning format | One project extended through every module | Topics demonstrated separately, rarely combined |
| Tools used | ChatGPT, Claude, LangChain, Python | Usually limited to basic ChatGPT |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| RAG & AI Agents | Live integration, real projects | Rarely covered |
| Advanced topics | Fine-tuning, MLOps, Automation | Often only theory |
| Automation & Scripts | AI pipelines, Zapier, Make | Rarely covered |
| Portfolio | 6 documented project deliverables | Often just assignments, not portfolio-ready work |
| Certificate | Completion certificate + documented internship | Only a completion certificate |
| Placement support | Resume, LinkedIn, interview coaching, active placement | Often only a completion certificate |
Every comparison here is about substance, not marketing language.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at beginner level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
